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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved modeling of RNA-binding protein motifs in an interpretable neural model of RNA splicing
|
|---|---|
| Published in |
Genome Biology, January 2024
|
| DOI | 10.1186/s13059-023-03162-x |
| Pubmed ID | |
| Authors |
Kavi Gupta, Chenxi Yang, Kayla McCue, Osbert Bastani, Phillip A. Sharp, Christopher B. Burge, Armando Solar-Lezama |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| India | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Unspecified | 1 | 9% |
| Other | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unspecified | 1 | 9% |
| Computer Science | 1 | 9% |
| Physics and Astronomy | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2024.
All research outputs
#14,673,774
of 25,489,496 outputs
Outputs from Genome Biology
#3,865
of 4,480 outputs
Outputs of similar age
#120,271
of 330,651 outputs
Outputs of similar age from Genome Biology
#55
of 72 outputs
Altmetric has tracked 25,489,496 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.